Abstract
Objectives: Accreditation to standards developed by the Royal Australian College of General Practice provides assurance to the community of the quality and safety of general practices in Australia. The objective of this study was to conduct an empirical evaluation of the 5th edition standards. Minimal empirically driven evaluation of the standards has been conducted since their publication in 2020.
Methods: Data encompass consecutive Australian general practice accreditation assessments between December 2020 and July 2022 recorded from a single accrediting agency. Met and not met compliance (binary) scores for 124 indicators evaluated at the site visit were recorded. A subset of indicators derived from a selection of existing and consistently non-conformant indicators within each criterion was generated. Concordance between the indicator subset and the criterion was assessed to determine the predictive ability of the indicator subset in distinguishing practices who are conformant to the entire criterion.
Results: A total of 757 general practices were included in the analysis. On average, 113.69 (s.d. = 8.16) of 124 indicators were evaluated as conformant at the site visit. In total, 52 (42%) indicators were required to obtain a true positive conformity rate above 95% for all criterions of the standards. For criterion 1 (General Practice 1) conformity to the entire criterion (nine indicators; >95% true positive rate) could be obtained by including 2/9 indicators (C1-1a and C1-2a).
Conclusion: Our results identified that indicator non-conformity was driven by a small proportion of indicators and identifying a subset of these consistently non-conformant indicators predicted a true positive rate above 95% at the criterion level.
Methods: Data encompass consecutive Australian general practice accreditation assessments between December 2020 and July 2022 recorded from a single accrediting agency. Met and not met compliance (binary) scores for 124 indicators evaluated at the site visit were recorded. A subset of indicators derived from a selection of existing and consistently non-conformant indicators within each criterion was generated. Concordance between the indicator subset and the criterion was assessed to determine the predictive ability of the indicator subset in distinguishing practices who are conformant to the entire criterion.
Results: A total of 757 general practices were included in the analysis. On average, 113.69 (s.d. = 8.16) of 124 indicators were evaluated as conformant at the site visit. In total, 52 (42%) indicators were required to obtain a true positive conformity rate above 95% for all criterions of the standards. For criterion 1 (General Practice 1) conformity to the entire criterion (nine indicators; >95% true positive rate) could be obtained by including 2/9 indicators (C1-1a and C1-2a).
Conclusion: Our results identified that indicator non-conformity was driven by a small proportion of indicators and identifying a subset of these consistently non-conformant indicators predicted a true positive rate above 95% at the criterion level.
Original language | English |
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Pages (from-to) | 228–234 |
Number of pages | 7 |
Journal | Australian Health Review |
Volume | 48 |
Issue number | 3 |
Early online date | 21 Mar 2024 |
DOIs | |
Publication status | Published - Jun 2024 |
Keywords
- accreditation
- community standards
- general practice
- health policy
- healthcare
- patient safety
- practice indicators
- quality and safety